Ben Gurion, the main international airport in Israel, is one of the most protected airports in the world. It is known for its multilayered security. On the way from the office to the airport, you get caught in the lens of airport cameras. The road curves several kilometers to the terminal, and when you are driving, the security system has enough time to analyze your identity. In case of any signs of danger, you will be intercepted. The system of behavior anomalies analysis in computer systems works the same way. The implementation of these systems is effective in defense. While a perpetrator is running certain commands, an AI-based system can stave off any damage, having identified an intrusion.

AI deployment is not so rosy in the world of cybersecurity. Hackers move forward and adopt it as well. The U.S. intelligence community reports that artificial intelligence actually works in cybercriminals' favor.

Let's go over a few areas for hackers deploying machine learning and find out which cybersecurity measures should be taken.

Data Gathering

Every single breach starts with data gathering. Hackers maximize the chances of success by gaining more information. They classify users and select a potential victim thoroughly using several classification and clustering methods. This task can be automated.

How can you protect yourself from being their victim? It goes without saying that your personal information must not be available in open sources, so you should not publish an awful lot of information about yourself on social networks.

Phishing

Neural networks can be trained to create spams that resemble a real email. However, in order for this to work, it is better to know the sender’s behavior. This can be achieved through network phishing that provides hackers with easy access to personal information. Research from BlackHat about automated spearphishing on Twitter proves this idea. This tool can increase the success of phishing campaigns up to 30% -- which is twice as much as traditional automation and similar to manual phishing.